RoBERTa-Assisted Outcome Prediction in Ovarian Cancer Cytoreductive Surgery Using Operative Notes.
Alexandros LaiosEvangelos KalampokisMarios Evangelos MamalisConstantine TarabanisDavid NugentAmudha ThangaveluGeorgios TheophilouDiederick de JongPublished in: Cancer control : journal of the Moffitt Cancer Center (2023)
We applied a sui generis approach to extract information from the abundant textual surgical data and demonstrated how it can be effectively used for classification prediction, outperforming models relying on conventional structured data. State-of-art NLP applications in biomedical texts can improve modern EOC care.
Keyphrases
- electronic health record
- big data
- minimally invasive
- healthcare
- machine learning
- deep learning
- palliative care
- oxidative stress
- coronary artery bypass
- quality improvement
- hiv infected
- health information
- percutaneous coronary intervention
- chronic pain
- acute coronary syndrome
- artificial intelligence
- affordable care act
- surgical site infection